Estimate cloud block storage costs including volume size, provisioned IOPS, and throughput. Compare EBS, Azure Disk, and GCE PD pricing.
Cloud block storage (AWS EBS, Azure Managed Disks, Google Persistent Disks) bills on three dimensions: volume size in GB, provisioned IOPS, and provisioned throughput. A simple gp3 volume with 100 GB at baseline IOPS costs about $8/month, but an io2 volume with 100 GB and 10,000 provisioned IOPS costs over $660/month. Understanding these cost levers is essential for controlling cloud compute spending.
This calculator models all three cost components for cloud block storage. Enter the volume size, IOPS requirements, and throughput needs along with the per-unit rates, and get a clear monthly cost estimate. It's perfect for right-sizing volumes, comparing storage tiers, and building accurate cloud budgets.
Tracking this metric consistently enables technology teams to identify system performance trends and address potential issues before they impact end users or business operations. This measurement provides a critical foundation for capacity planning and performance budgeting, helping teams align infrastructure resources with application requirements and growth projections.
Block storage costs can vary 100× depending on performance tier and provisioned IOPS. This calculator helps you right-size volumes and avoid over-provisioning. Compare GP, IO-optimized, and throughput-optimized tiers to find the cheapest option for your workload. Data-driven tracking enables evidence-based infrastructure decisions, reducing the risk of over-provisioning costs or under-provisioning that leads to performance bottlenecks.
monthly_cost = (volume_GB × GB_rate) + (provisioned_IOPS × IOPS_rate) + (throughput_MBps × throughput_rate)
Result: $375.00/month
Volume: 500 × $0.08 = $40.00. IOPS: 5,000 × $0.065 = $325.00. Throughput: 250 × $0.04 = $10.00. Total: $375.00/month. IOPS dominate the cost—most block storage budget goes to provisioned IO performance, not capacity.
The most common block storage waste is over-provisioned IOPS. A gp3 volume at $0.08/GB costs $40/month for 500 GB. Adding 10,000 provisioned IOPS at $0.065/IOP adds $650/month. If your workload only uses 2,000 IOPS, you're paying $520/month for unused IOPS.
For databases, separate the data volume (high IOPS) from the log volume (high throughput) and the backup volume (cheap capacity). This approach lets you optimize cost and performance independently for each workload component.
Some cloud providers offer committed-use discounts for block storage. AWS doesn't discount EBS directly, but the EC2 Savings Plans indirectly reduce the cost of attached storage workloads. Azure offers reserved capacity for managed disks with up to 50% savings.
gp3 is general-purpose SSD storage with 3,000 baseline IOPS. io2 is provisioned-IOPS SSD for latency-sensitive workloads needing up to 64,000 IOPS per volume. io2 costs significantly more but guarantees consistent sub-millisecond latency.
Monitor your existing volumes for 2–4 weeks. Check the average and peak IOPS consumption. Provision for your 95th percentile peak with 20% headroom. Most web application volumes need 3,000–6,000 IOPS.
AWS allows EBS volume type modification without detaching the volume. The change applies gradually over minutes to hours. Azure requires a stop/deallocate for some tier changes. Always snapshot before modifying.
st1 (throughput-optimized HDD) and sc1 (cold HDD) are much cheaper per GB ($0.045 and $0.015) but offer only 500 and 250 IOPS max. Use them for large sequential workloads like data warehouses and log processing.
Yes. EBS snapshots cost $0.05/GB-month for the data stored. Snapshots are incremental—after the first snapshot, only changed blocks are stored. A 500 GB volume with 5% daily change would cost about $1.25/month for a single-day snapshot.
Block storage provides a raw volume that you format with a filesystem and attach to a single instance. Object storage (S3) stores files accessed via HTTP/API. Block storage has lower latency and supports databases; object storage scales infinitely.